I've been having a look at the python library eeglib to see
\nif it could be used for feature extraction.
eeglib is not in the standard set of libraries in the kaggle notebook docker image so I've made an offline pip installer dataset to allow its use with internet disabled.
\nI'm still not sure how useful the library may turn out to be but I've created a visualisation notebook that shows how to use the library to do some rudimentary pre-processing of the time domain signals and visualising some of the extracted features on a single EEG file (selected arbitrarily).
\nNotebook can be found here: Offline load eeglib, visualisations for HMS-HBAC
", "messages": [ { "id": 2614433, "postDate": "2024-01-22T15:57:00.017Z", "content": "I've been having a look at the python library eeglib to see
\nif it could be used for feature extraction.
eeglib is not in the standard set of libraries in the kaggle notebook docker image so I've made an offline pip installer dataset to allow its use with internet disabled.
\nI'm still not sure how useful the library may turn out to be but I've created a visualisation notebook that shows how to use the library to do some rudimentary pre-processing of the time domain signals and visualising some of the extracted features on a single EEG file (selected arbitrarily).
\nNotebook can be found here: Offline load eeglib, visualisations for HMS-HBAC
", "rawMarkdown": "I've been having a look at the python library [eeglib](https://github.com/Xiul109/eeglib/tree/master) to see\nif it could be used for feature extraction. \n\n**eeglib** is not in the standard set of libraries in the kaggle notebook docker image so I've made an offline pip installer dataset to allow its use with internet disabled.\n\nI'm still not sure how useful the library may turn out to be but I've created a visualisation notebook that shows how to use the library to do some rudimentary pre-processing of the time domain signals and visualising some of the extracted features on a single EEG file (selected arbitrarily).\n\nNotebook can be found here: [Offline load eeglib, visualisations for HMS-HBAC](https://www.kaggle.com/code/andrewscholan/offline-load-eeglib-visualisations-for-hms-hbac)", "votes": 4 }, { "id": 2614961, "postDate": "2024-01-22T23:10:35.107Z", "content": "@andrewscholan nice, i am also learning about alpha, beta, theta.
\nany source to understand PFD, LZC, DFA? Thanks for sharing
", "rawMarkdown": "@andrewscholan nice, i am also learning about alpha, beta, theta.\n\nany source to understand PFD, LZC, DFA? Thanks for sharing\n\n", "replies": [ { "id": 2622180, "postDate": "2024-01-27T09:51:15.490Z", "content": "I'm sorry, but I'm not a neurologist so can't explain what these features actually mean!
", "rawMarkdown": "I'm sorry, but I'm not a neurologist so can't explain what these features actually mean!" } ] }, { "id": 2614811, "postDate": "2024-01-22T20:12:16.643Z", "rawMarkdown": "", "votes": -2, "isDeleted": true, "replies": [ { "id": 2614942, "postDate": "2024-01-22T22:34:11.537Z", "content": "Thank you.
\n:-)
@andrewscholan nice, i am also learning about alpha, beta, theta.
\nany source to understand PFD, LZC, DFA? Thanks for sharing
", "votes": 0, "replies": [ { "id": 2622180, "author_name": "Andrew Scholan", "author_url": "", "post_date": "2024-01-27T09:51:15.490000", "content": "I'm sorry, but I'm not a neurologist so can't explain what these features actually mean!
", "votes": 0, "replies": [] } ] }, { "id": 2614811, "author_name": "", "author_url": "", "post_date": "2024-01-22T20:12:16.643000", "content": "", "votes": -2, "replies": [ { "id": 2614942, "author_name": "Andrew Scholan", "author_url": "", "post_date": "2024-01-22T22:34:11.537000", "content": "Thank you.
\n:-)